Junqing Yu
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 17
- Video Analysis and Summarization 12
- Video Surveillance and Tracking Methods 8
- Image Retrieval and Classification Techniques 7
- Advanced Vision and Imaging 7
-
- Music and Audio Processing 9
- Journals
- Multimedia Tools and Applications (3 papers)IEEE Multimedia (2 papers)Neurocomputing (2 papers)Multimedia Systems (2 papers)IEEE Access (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junqing Yu
69 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 811
- Media Technology 122
- Signal Processing 110
- Geology 53
Countries citing papers authored by Junqing Yu
This map shows the geographic impact of Junqing Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junqing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqing Yu more than expected).
Fields of papers citing papers by Junqing Yu
This network shows the impact of papers produced by Junqing Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junqing Yu. The network helps show where Junqing Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junqing Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 46 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 57 | |
| 9 | 2021 | 3 | |
| 10 | Im-OFDP: An Improved OpenFlow-based Topology Discovery Protocol for Software Defined Network | 2020 | 2 |
| 11 | Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation | 2020 | 8 |
| 12 | 2020 | 5 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 24 | |
| 16 | 2010 | 2 | |
| 17 | 2009 | 0 | |
| 18 | 2008 | 13 | |
| 19 | Improved collision detection algorithm based on AABB | 2007 | 2 |
| 20 | 2006 | 4 |
About Junqing Yu
Junqing Yu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (17 papers), Video Analysis and Summarization (12 papers), Robotics and Sensor-Based Localization (12 papers), Music and Audio Processing (9 papers), Video Surveillance and Tracking Methods (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Vision and Imaging (7 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (811 citations), Media Technology (122 citations), Signal Processing (110 citations) and Geology (53 citations). Junqing Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tao Guan, Yawei Luo, Yi Yang, Liang Zheng, Zikai Song, Yi‐Ping Phoebe Chen, Wei Yang, Bing Sun, Zhiyu Yan and Ying Yu. Their work appears in journals such as Multimedia Tools and Applications, IEEE Multimedia, Neurocomputing, Multimedia Systems and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.